Skip to main content
SpringerLink
Log in

Discovery of Emerging Topics Between Communities on WWW

  • Conference paper
  • First Online:
Web Intelligence: Research and Development (WI 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2198))

Included in the following conference series:

Abstract

In the real world, discovering new topics covering profitable items and ideas (e.g., mobile phone, global warming, human genome project, etc) is important and interesting. However, since we cannot completely encode the world surrounding us, it’s difficult to detect such topics and their mechanisms in advance. In order to support the detection, we show a method for revealing the structure of WWW by using the KeyGraph algorithm. Empirical results are reported.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Malcolm Gladwell: THE TIPPING POINT: How Little Things Can Make a Big Difference. Little Brown & Company, 2000.

    Google Scholar 

  2. Andrei. Z. Broder, Steven. C. Glassman, and Mark. S. Manasse: Syntactic Clustering of the Web. Proceedings of the 6th World Wide Web Conference, 1997.

    Google Scholar 

  3. Ravi Kumar, Prabhakar Raghavan, Sridhar Rajagopalan, and Andrew Tomkins: Trawling the web for emerging cyber-communities. Proceedings of the 8th World Wide Web Conference, 1999.

    Google Scholar 

  4. Jon M. Kleinberg: Authoritative Sources in a Hyperlinked Environment. Journal of the ACM, Vol. 46, No. 5, pp. 604–632, 1999.

    Article  MATH  MathSciNet  Google Scholar 

  5. Sergey Brin and Lawrence Page: The Anatomy of a Large-Scale Hypertextual Web Search Engine. Proceedings of 7th World Wide Web Conference, 1998

    Google Scholar 

  6. H. D. White and K. W. McCain: Bibliometrics. Annual Review of Information Science and Technology, Vol. 24, pp. 119–186, Elsevier, 1989.

    Google Scholar 

  7. Naohiro Matsumura, Yukio Ohsawa, and Mitsuru Ishizuka: Discovering Promising New Topics on the Web. Proceedings of the 4th International Conference on Knowledge-Based Intelligent Engineering Systems & Allied Technologies, pp. 804–807, 2000.

    Google Scholar 

  8. Henry Kautz, Bart Selman, and Mehul Shah: The Hidden Web. AI magazine, Vol. 18, No. 2, pp. 27–36, 1997.

    Google Scholar 

  9. Leonard N. Foner: Yenta: A Multi-Agent, Referral-Based Matchmaking System. Proceedings of the 1st International Conference on Autonomous Agents, pp. 301–307, 1997.

    Google Scholar 

  10. G. Salton and M. J. McGill: Introduction to Modern Information Retrieval, McGraw-Hill, 1983.

    Google Scholar 

  11. M. F. Porter: An Algorithm for Suffix Stripping, Automated Library and Informations Systems, Vol. 14, No. 3, pp. 130–137, 1980.

    Google Scholar 

  12. J. Cohen: Highlights: Language-and Document-Automatic Indexing Terms for Abstracting, Journal of Amerimcan Society for Information Science, Vol. 46, pp. 162–174, 1995.

    Article  Google Scholar 

  13. Yukio Ohsawa, Nels E. Benson and Masahiko Yachida: KeyGraph: Automatic Indexing by Co-occurrence Graph Based on Building Construction Metaphor. Proceedings of the Advances in Digital Libraries Conference, pp. 12–18, 1998.

    Google Scholar 

  14. Yukio Ohsawa, Masahiko Yachida: Discover Risky Active Faults by Indexingan Earthquake Sequence. Proceedings of the International Conference on Discovery Science, pp. 208–219, 1999.

    Google Scholar 

  15. Yukio Ohsawa: Get Timely Files from Visualized Structure of Your Working History, Proceedings of the 3rd International Conference on Knowledge-Based Intelligent Engineering Systems & Allied Technologies, 1999.

    Google Scholar 

  16. Seiji Yamada, Yukio Osawa: Navigation Planning to Guide Concept Understanding in the World Wide Web, Proceedings of Autonomous Agents, pp. 114–115, 2000.

    Google Scholar 

  17. Yumiko Nara and Yukio Ohsawa: Tools for Shifting Human Context into Disasters, Chance Discovery and Management session, Proceedings of the 4th International Conference on Knowledge-Based Intelligent Engineering Systems & Allied Technologies, 2000.

    Google Scholar 

  18. Yukio Ohsawa, Hisashi Fukuda: Potential Motivations and Fountains of Chances, Chance Discovery from Data session, Proc. International Conference on Industrial Electronics, Control and Instrumentation, 2000.

    Google Scholar 

  19. International Human Genome Sequencing Consortium: Initial sequencing and analysis of the human genome, Nature 409, pp. 860–921, 2001

    Article  Google Scholar 

  20. J. Craig Venter, et al.: The Sequence of the Human Genome, Science 291: pp. 1304–1351, 2001.

    Article  Google Scholar 

  21. Krishna Bharat, Monika R. Henzinger: Improved Algorithms for Topic Distillation in a Hyperlinked Environment, Proceedings of the 21st ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 104–111, 1998.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Graduate School of Engineering, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113—8656, Japan

    Naohiro Matsumura & Mitsuru Ishizuka

  2. Graduate School of Systems Management, University of Tsukuba, 3-29-1 Otsuka, Bunkyo-ku, Tokyo, 112—0012, Japan

    Yukio Ohsawa

  3. TOREST, Japan Science and Technology Corporation, 2-2-11 Tsutsujigaoka, Miyagino-ku, Sendai, Miyagi, 983—0852, Japan

    Naohiro Matsumura & Yukio Ohsawa

Authors
  1. Naohiro Matsumura
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yukio Ohsawa
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Mitsuru Ishizuka
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Systems and Information Engineering, Maebashi Institute of Technology, 460-1 Kamisadori-Cho, Maebashi-City, 371-0816, Japan

    Ning Zhong

  2. Department of Computer Science, University of Regina, Regina, Saskatchewan, Canada, S4S 0A2

    Yiju Yao

  3. Department of Computer Science, Hong Kong Baptist University, 224 Waterloo Road, Kowloon, Hong Kong, China

    Jiming Liu

  4. Department of Information and Computer Science, Waseda University, 3-4-1 Okubo Shinjuku-Ku, Tokyo, 169, Japan

    Setsuo Ohsuga

Rights and permissions

Reprints and permissions

Copyright information

© 2001 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Matsumura, N., Ohsawa, Y., Ishizuka, M. (2001). Discovery of Emerging Topics Between Communities on WWW. In: Zhong, N., Yao, Y., Liu, J., Ohsuga, S. (eds) Web Intelligence: Research and Development. WI 2001. Lecture Notes in Computer Science(), vol 2198. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45490-X_61

Download citation

  • DOI: https://doi.org/10.1007/3-540-45490-X_61

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42730-8

  • Online ISBN: 978-3-540-45490-8

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation